Construction and analysis of prediction model for sales of child car seats

Abstract

Based on the Carseats data set in the ISLR package, this paper constructs a regression model of the data set and predicts some variables. In addition, it also includes the establishment of regression trees and other models for variables. The final task requirement is to construct the classification model of the data, divide the classification model into the training set and the test set, and construct the linear discriminant analysis, logistic regression, random forest and so on with another variable. By making some models, the prediction accuracy on the test set is relatively high, and the evaluation effect of the model is also very good, which can provide a sufficient theoretical basis for the prediction of the sales of children's car seats.